摘要
在低轨天基预警卫星(STSS)24星构型配置条件下,对弹道导弹ICBM全程飞行过程中可见预警卫星数多于2颗,用最小二乘几何弹道一次定位及扩展卡尔曼滤波(EKF)算法,提出了基于观测噪声估计方差最小的可见星最优选星原则。仿真结果表明:与不进行选星方式相比,用该选星原则进行弹道导弹弹道重构计算可满足在最小限度占用监视预警卫星资源条件下,获得更高的弹道重构精度。
On the condition of space tracking and surveillance system （STSS） constellation made up of 24 satellites and more than two visible satellites on the full trajectory of intercontinental ballistic missile （ICBM）, a method of optimal selecting visible satellites based on the least variance estimation of measurement noises, from the applying on the algorithm of the least square missile position estimation and extend Kalman filtering （EKF） was proposed in this paper. The simulation results showed that this method could attain higher precision of trajectory estimation than the non-selecting plan for the least occupying resource of STSS signal procession.
出处
《上海航天》
2014年第1期7-11,62,共6页
Aerospace Shanghai
关键词
低轨预警卫星
弹道重构
选星算法
最小二乘法
扩展卡尔曼滤波
Low-orbit early-warning satellite
Trajectory estimation
Algorithm of selection
The least squarealgorithm
Extend Kalman filtering
